William Herlands

Publication Activity (10 Years)

Years Active: 2014-2019
Publications (10 Years): 9

Top Topics

Machine Learning

Pattern Detection

Correct Classification

Top Venues

ACM Trans. Manag. Inf. Syst.

Publications

William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction. J. Mach. Learn. Res. 20 (2019)
William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
Automated Local Regression Discontinuity Design Discovery. KDD (2018)
Maria De-Arteaga, William Herlands, Daniel B. Neill, Artur Dubrawski
Machine Learning for the Developing World. ACM Trans. Manag. Inf. Syst. 9 (2) (2018)
William Herlands, Daniel B. Neill, Hannes Nickisch, Andrew Gordon Wilson
Change Surfaces for Expressive Multidimensional Changepoints and Counterfactual Prediction. CoRR (2018)
Maria De-Arteaga, Amanda Coston, William Herlands
Proceedings of NeurIPS 2018 Workshop on Machine Learning for the Developing World: Achieving Sustainable Impact. CoRR (2018)
William Herlands, Edward McFowland III, Andrew Gordon Wilson, Daniel B. Neill
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. CoRR (2018)
William Herlands, Edward McFowland, Andrew Gordon Wilson, Daniel B. Neill
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data. AISTATS (2018)
Daniel B. Neill, William Herlands
Machine Learning for Drug Overdose Surveillance. CoRR (2017)
William Herlands, Andrew Gordon Wilson, Hannes Nickisch, Seth R. Flaxman, Daniel B. Neill, Wilbert Van Panhuis, Eric P. Xing
Scalable Gaussian Processes for Characterizing Multidimensional Change Surfaces. AISTATS (2016)
William Herlands, Thomas Hobson, Paula J. Donovan
Effective Entropy: Security-Centric Metric for Memory Randomization Techniques. CSET (2014)
William Herlands, Ricky Der, Yoel Greenberg, Simon A. Levin
A Machine Learning Approach to Musically Meaningful Homogeneous Style Classification. AAAI (2014)